Exploratory Data Analysis (EDA) Dashboard

🔍

Examine data structure, types, and initial characteristics to build foundational knowledge.

📊

Perform univariate and bivariate analysis to understand distributions and relationships.

🧹

Handle missing values, outliers, and inconsistencies to ensure data quality.

📈

Create meaningful charts and graphs to reveal patterns and insights visually.

EDA

Data
Profiling

Univariate
Analysis

Bivariate
Analysis

Missing Values
Treatment

Outlier
Treatment

Variable
Transformation

Imbalanced
Data

Key EDA Components

📋

Systematic examination of data to understand structure, content, and relationships between variables.

📊

Descriptive statistics including mean, median, mode, standard deviation, and quartiles.

🔗

Identify relationships and dependencies between different variables in the dataset.

📈

Create charts, plots, and graphs to reveal patterns and insights visually.